Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach

<p>To assess the structural health and remaining useful life of wind turbines within wind farms, the site-specific structural response and modal parameters of the primary structures are required. In this regard, a novel inverse-problem-based methodology is proposed here to identify th...

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Autores principales:	W. D. Remigius, A. Natarajan
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/400484f1e9d24c729764a8cfedbf887a
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spelling	oai:doaj.org-article:400484f1e9d24c729764a8cfedbf887a2021-11-05T11:18:26ZIdentification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach10.5194/wes-6-1401-20212366-74432366-7451https://doaj.org/article/400484f1e9d24c729764a8cfedbf887a2021-11-01T00:00:00Zhttps://wes.copernicus.org/articles/6/1401/2021/wes-6-1401-2021.pdfhttps://doaj.org/toc/2366-7443https://doaj.org/toc/2366-7451<p>To assess the structural health and remaining useful life of wind turbines within wind farms, the site-specific structural response and modal parameters of the primary structures are required. In this regard, a novel inverse-problem-based methodology is proposed here to identify the dynamic quantities of the drivetrain main shaft, i.e. torsional displacement and coupled stiffness. As a model-based approach, an inverse problem of a mathematical model concerning the coupled-shaft torsional dynamics with high-frequency SCADA (supervisory control and data acquisition) measurements as input is solved. It involves Tikhonov regularisation to minimise the measurement noise and irregularities on the shaft torsional displacement obtained from measured rotor and generator speed. Subsequently, the regularised torsional displacement along with necessary SCADA measurements is used as an input to the mathematical model, and a model-based system identification method called the collage method is employed to estimate the coupled torsional stiffness. It is also demonstrated that the estimated shaft torsional displacement and coupled stiffness can be used to identify the site-specific main-shaft torsional loads. It is shown that the torsional loads estimated by the proposed methodology is in good agreement with the aeroelastic simulations of the Vestas V52 wind turbine. Upon successful verification, the proposed methodology is applied to the V52 turbine to identify the site-specific main-shaft torsional loads and damage-equivalent load. Since the proposed methodology does not require a design basis or additional measurement sensors, it can be directly applied to wind turbines within a wind farm that possess high-frequency SCADA measurements.</p>W. D. RemigiusA. NatarajanCopernicus PublicationsarticleRenewable energy sourcesTJ807-830ENWind Energy Science, Vol 6, Pp 1401-1412 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Renewable energy sources TJ807-830
spellingShingle	Renewable energy sources TJ807-830 W. D. Remigius A. Natarajan Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
description	<p>To assess the structural health and remaining useful life of wind turbines within wind farms, the site-specific structural response and modal parameters of the primary structures are required. In this regard, a novel inverse-problem-based methodology is proposed here to identify the dynamic quantities of the drivetrain main shaft, i.e. torsional displacement and coupled stiffness. As a model-based approach, an inverse problem of a mathematical model concerning the coupled-shaft torsional dynamics with high-frequency SCADA (supervisory control and data acquisition) measurements as input is solved. It involves Tikhonov regularisation to minimise the measurement noise and irregularities on the shaft torsional displacement obtained from measured rotor and generator speed. Subsequently, the regularised torsional displacement along with necessary SCADA measurements is used as an input to the mathematical model, and a model-based system identification method called the collage method is employed to estimate the coupled torsional stiffness. It is also demonstrated that the estimated shaft torsional displacement and coupled stiffness can be used to identify the site-specific main-shaft torsional loads. It is shown that the torsional loads estimated by the proposed methodology is in good agreement with the aeroelastic simulations of the Vestas V52 wind turbine. Upon successful verification, the proposed methodology is applied to the V52 turbine to identify the site-specific main-shaft torsional loads and damage-equivalent load. Since the proposed methodology does not require a design basis or additional measurement sensors, it can be directly applied to wind turbines within a wind farm that possess high-frequency SCADA measurements.</p>
format	article
author	W. D. Remigius A. Natarajan
author_facet	W. D. Remigius A. Natarajan
author_sort	W. D. Remigius
title	Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
title_short	Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
title_full	Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
title_fullStr	Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
title_full_unstemmed	Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach
title_sort	identification of wind turbine main-shaft torsional loads from high-frequency scada (supervisory control and data acquisition) measurements using an inverse-problem approach
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/400484f1e9d24c729764a8cfedbf887a
work_keys_str_mv	AT wdremigius identificationofwindturbinemainshafttorsionalloadsfromhighfrequencyscadasupervisorycontrolanddataacquisitionmeasurementsusinganinverseproblemapproach AT anatarajan identificationofwindturbinemainshafttorsionalloadsfromhighfrequencyscadasupervisorycontrolanddataacquisitionmeasurementsusinganinverseproblemapproach
_version_	1718444283053211648

Identification of wind turbine main-shaft torsional loads from high-frequency SCADA (supervisory control and data acquisition) measurements using an inverse-problem approach

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